DEVICES="3"

TRAIN_POST_PATH=../data/legal_data_clean/train/post.train
TRAIN_RESP_PATH=../data/legal_data_clean/train/resp.train
TRAIN_HIS_PATH=../data/legal_data_clean/train/his_resp_padded.train
# TRAIN_POST_PATH=../data/legal_data_clean/dev/post.tiny.dev
# TRAIN_RESP_PATH=../data/legal_data_clean/dev/resp.tiny.dev
# TRAIN_HIS_PATH=../data/legal_data_clean/dev/his_resp_padded.tiny.dev
DEV_POST_PATH=../data/legal_data_clean/dev/post.tiny.dev
DEV_RESP_PATH=../data/legal_data_clean/dev/resp.tiny.dev
DEV_HIS_PATH=../data/legal_data_clean/dev/his_resp_padded.tiny.dev
SRC_VOCAB=../data/legal_data_clean/vocab/src_vocab_file_40000
TGT_VOCAB=../data/legal_data_clean/vocab/tgt_vocab_file_40000

python runModel.py \
        --device $DEVICES \
        --train_post_path $TRAIN_POST_PATH \
        --train_resp_path $TRAIN_RESP_PATH \
        --train_his_path $TRAIN_HIS_PATH \
        --dev_post_path $DEV_POST_PATH \
        --dev_resp_path $DEV_RESP_PATH \
        --dev_his_path $DEV_HIS_PATH \
        --src_vocab_file $SRC_VOCAB \
        --tgt_vocab_file $TGT_VOCAB \
        --batch_size 2 \
        --model_name MoeTransformer \
        --model_dir ./experiment_moe_legal_3 \
        --best_model_dir ./experiment_moe_legal_3/best \
        --resume

